Speed Scaling with Multiple Servers under a Sum-Power Constraint-Reference-Cited by-同舟云学术

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Speed Scaling with Multiple Servers under a Sum-Power Constraint

Published:2022-03-22 Issue:3 Volume:49 Page:45-50
ISSN:0163-5999
Container-title:ACM SIGMETRICS Performance Evaluation Review
language:en
Short-container-title:SIGMETRICS Perform. Eval. Rev.

Author:

Vaze Rahul¹,Nair Jayakrishnan²

Affiliation:

1. Tata Institute of Fundamental Research

2. IIT Bombay

Abstract

The problem of scheduling jobs and choosing their respective speeds with multiple servers under a sum-power constraint to minimize the flow time + energy is considered.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

https://dl.acm.org/doi/pdf/10.1145/3529113.3529128

Reference19 articles.

1. Scheduling Parallelizable Jobs Online to Minimize the Maximum Flow Time

2. Towards Optimality in Parallel Scheduling

3. heSRPT

4. T. Condie , N. Conway , P. Alvaro , J. M. Hellerstein , K. Elmeleegy , and R. Sears . Mapreduce online. In NSDI , volume 10 , page 20 , 2010 . T. Condie, N. Conway, P. Alvaro, J. M. Hellerstein, K. Elmeleegy, and R. Sears. Mapreduce online. In NSDI, volume 10, page 20, 2010.

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